Evaluation of Dominant and Non-Dominant Hand Movements for Volleyball Action Modelling
| dc.contributor.author | Haider, Fasih | |
| dc.contributor.author | Salim, Fahim A. | |
| dc.contributor.author | Tasdemir, Sena Busra Yengec | |
| dc.contributor.author | Naghashi, Vahid | |
| dc.contributor.author | Tengiz, Izem | |
| dc.contributor.author | Cengiz, Kubra | |
| dc.contributor.author | Postma, Dees B. W. | |
| dc.date.accessioned | 2023-06-16T14:31:34Z | |
| dc.date.available | 2023-06-16T14:31:34Z | |
| dc.date.issued | 2019 | |
| dc.description | 21st ACM International Conference on Multimodal Interaction (ICMI) -- OCT 14-18, 2019 -- Suzhou, PEOPLES R CHINA | en_US |
| dc.description.abstract | In this paper, we assess the use of Inertial Measurement Units (IMU) in recognising different volleyball-specific actions. Analysis of the results suggests that all sensors in the IMU (i.e. magnetometer, accelerometer, barometer and gyroscope) contribute unique information in the classification of volleyball-specific actions. We demonstrate that while the accelerometer feature set provides the best Unweighted Average Recall (UAR) overall, decision fusion of the accelerometer with the magnetometer improves UAR slightly from 85.86% to 86.9%. Interestingly, it is also demonstrated that the non-dominant hand provides better UAR than the dominant hand. These results are even more marked with decision fusion. | en_US |
| dc.description.sponsorship | ACM SIGCHI,Assoc Comp Machinery,Openstream,Alibaba Grp,Microsoft,Baidu,Sensetime,Tencent YouTu Lab,AISpeech | en_US |
| dc.description.sponsorship | ZonMw Netherlands; European Union's Horizon 2020 research and innovation program [769661]; Turkish Higher Education Council's 100/2000 PhD fellowship program | en_US |
| dc.description.sponsorship | This work is carried out as part of the Smart Sports Exercises project funded by ZonMw Netherlands and the European Union's Horizon 2020 research and innovation program, under the grant agreement No 769661, towards the SAAM project. Sena Busra Yengec Tasdemir, is supported by the Turkish Higher Education Council's 100/2000 PhD fellowship program. | en_US |
| dc.identifier.doi | 10.1145/3351529.3360651 | |
| dc.identifier.isbn | 978-1-4503-6937-4 | |
| dc.identifier.scopus | 2-s2.0-85074193081 | |
| dc.identifier.uri | https://doi.org/10.1145/3351529.3360651 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14365/2146 | |
| dc.language.iso | en | en_US |
| dc.publisher | Assoc Computing Machinery | en_US |
| dc.relation.ispartof | Icmı'19: Adjunct of the 2019 Internatıonal Conference on Multımodal Interactıon | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Human-Media Interaction | en_US |
| dc.subject | Multimodal Feedback | en_US |
| dc.subject | Gestures Analysis | en_US |
| dc.subject | System | en_US |
| dc.title | Evaluation of Dominant and Non-Dominant Hand Movements for Volleyball Action Modelling | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Haider, Fasih/0000-0002-5150-3359 | |
| gdc.author.id | Reidsma, Dennis/0000-0002-7503-573X | |
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| gdc.description.department | İzmir Ekonomi Üniversitesi | en_US |
| gdc.description.departmenttemp | [Haider, Fasih; Luz, Saturnino] Univ Edinburgh, Edinburgh, Midlothian, Scotland; [Salim, Fahim A.; Postma, Dees B. W.; van Delden, Robby; Reidsma, Dennis; van Beijnum, Bert-Jan] Univ Twente, Enschede, Netherlands; [Tasdemir, Sena Busra Yengec] Abdullah Gul Univ, Kayseri, Turkey; [Naghashi, Vahid] Bilkent Univ, Bilkent, Turkey; [Tengiz, Izem] Izmir Univ Econ, Izmir, Turkey; [Cengiz, Kubra] Istanbul Tech Univ, Istanbul, Turkey | en_US |
| gdc.description.endpage | 6 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
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| gdc.oaire.keywords | Human-Computer Interaction | |
| gdc.oaire.keywords | Gestures analysis | |
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| gdc.oaire.keywords | Human-Media Interaction | |
| gdc.oaire.keywords | Multimodal Feedback | |
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| gdc.oaire.keywords | Software | |
| gdc.oaire.keywords | Gestures Analysis | |
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